RFID in Health Care-Building Smart Hospitals for Quality Healthcare

2016 ◽  
Vol 6 (2) ◽  
pp. 21-45 ◽  
Author(s):  
Amir Manzoor
Keyword(s):  
New Technology ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
Cultural Issues ◽  
Quality Healthcare ◽  
Asset Tracking ◽  
Smart Hospital ◽  
Smart Hospitals ◽  
Real Time Information ◽  
Operational Processes

RFID is a new technology that is quickly gaining ground in healthcare industry. RFID is being used in many areas of healthcare from asset tracking to patient care to access control. RFID can also be used to provide real-time information for decision support and to create a smart hospital supported by a secure and reliable smart hospital management information system (SHMIS). Such system can enable hospitals dynamically control different objects and transforms operational processes while minimizing any potential risks to patients and staff. The objective of this article is to discuss how RFID can be used to build a smart hospital and how healthcare industry can gain long-term benefits from smart hospitals. Findings indicate that use of RFID to develop smart hospitals require various enablers. There also exist ethical/cultural issues related to smart hospital implementation that require close collaboration among RFID products manufactures and healthcare providers. This article also provides several recommendations for healthcare industry in order gain competitive advantage from the use of smart hospitals.

RFID in Health Care-Building Smart Hospitals for Quality Healthcare

2017 ◽  
pp. 839-867 ◽  
Author(s):  
Amir Manzoor
Keyword(s):  
New Technology ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
Cultural Issues ◽  
Quality Healthcare ◽  
Asset Tracking ◽  
Smart Hospital ◽  
Smart Hospitals ◽  
Real Time Information ◽  
Operational Processes

RFID is a new technology that is quickly gaining ground in healthcare industry. RFID is being used in many areas of healthcare from asset tracking to patient care to access control. RFID can also be used to provide real-time information for decision support and to create a smart hospital supported by a secure and reliable smart hospital management information system (SHMIS). Such system can enable hospitals dynamically control different objects and transforms operational processes while minimizing any potential risks to patients and staff. The objective of this article is to discuss how RFID can be used to build a smart hospital and how healthcare industry can gain long-term benefits from smart hospitals. Findings indicate that use of RFID to develop smart hospitals require various enablers. There also exist ethical/cultural issues related to smart hospital implementation that require close collaboration among RFID products manufactures and healthcare providers. This article also provides several recommendations for healthcare industry in order gain competitive advantage from the use of smart hospitals.

RFID-Enabled Healthcare

2016 ◽  
Vol 8 (2) ◽  
pp. 26-46 ◽  
Author(s):  
Amir Manzoor
Keyword(s):  
New Technology ◽  
Healthcare Providers ◽  
Government Support ◽  
Healthcare Industry ◽  
Rfid Technology ◽  
Cultural Issues ◽  
Healthcare Applications ◽  
Asset Tracking ◽  
The Government ◽  
Effective Use

RFID is a new technology that is quickly gaining ground in healthcare industry. RFID is being used in many areas of healthcare from asset tracking to patient care to access control. The objective of this article is to provide an extensive survey of existing literature to identify various applications of RFID in healthcare and ascertain how healthcare industry can gain long-term benefits of RFID technology. Findings indicate that RFID is being used in variety of healthcare applications. Findings indicate that effective use of RFID in healthcare requires various enablers, most important of which is the government support to use of RFID in healthcare. There also exist ethical/cultural issues related to RFID implementation that require close collaboration among RFID products manufactures and healthcare providers. This article also provides several recommendations for healthcare industry in order gain competitive advantage from the use of RFID technology.

RFID-Enabled Healthcare

2017 ◽  
pp. 739-763
Author(s):  
Amir Manzoor
Keyword(s):  
New Technology ◽  
Healthcare Providers ◽  
Government Support ◽  
Healthcare Industry ◽  
Rfid Technology ◽  
Cultural Issues ◽  
Healthcare Applications ◽  
Asset Tracking ◽  
The Government ◽  
Effective Use

RFID is a new technology that is quickly gaining ground in healthcare industry. RFID is being used in many areas of healthcare from asset tracking to patient care to access control. The objective of this article is to provide an extensive survey of existing literature to identify various applications of RFID in healthcare and ascertain how healthcare industry can gain long-term benefits of RFID technology. Findings indicate that RFID is being used in variety of healthcare applications. Findings indicate that effective use of RFID in healthcare requires various enablers, most important of which is the government support to use of RFID in healthcare. There also exist ethical/cultural issues related to RFID implementation that require close collaboration among RFID products manufactures and healthcare providers. This article also provides several recommendations for healthcare industry in order gain competitive advantage from the use of RFID technology.

scholarly journals Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges

2021 ◽  
Vol 18 (1) ◽  
pp. 271
Author(s):  
DonHee Lee ◽  
Seong No Yoon
Keyword(s):  
Artificial Intelligence ◽  
Care Service ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
Care Providers ◽  
Current State ◽  
Healthcare It ◽  
Wide Range ◽  
Technology Applications ◽  
Operational Processes

This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In addition to a thorough review of the literature, this study analyzed several real-world examples of AI applications in healthcare. The results indicate that major hospitals are, at present, using AI-enabled systems to augment medical staff in patient diagnosis and treatment activities for a wide range of diseases. In addition, AI systems are making an impact on improving the efficiency of nursing and managerial activities of hospitals. While AI is being embraced positively by healthcare providers, its applications provide both the utopian perspective (new opportunities) and the dystopian view (challenges to overcome). We discuss the details of those opportunities and challenges to provide a balanced view of the value of AI applications in healthcare. It is clear that rapid advances of AI and related technologies will help care providers create new value for their patients and improve the efficiency of their operational processes. Nevertheless, effective applications of AI will require effective planning and strategies to transform the entire care service and operations to reap the benefits of what technologies offer.

Business Intelligence and Analytics (BI&A) Capabilities in Healthcare

2020 ◽  
pp. 1-17
Author(s):  
Thiagarajan Ramakrishnan ◽  
Abhishek Kathuria ◽  
Terence J. V. Saldanha
Keyword(s):  
Business Intelligence ◽  
Healthcare Service ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
It Professionals ◽  
Healthcare Organizations ◽  
Quality Healthcare ◽  
Organizational Perspective ◽  
Healthcare Process

Business Intelligence and Analytics (BI&A) is emerging as an essential area of expertise in healthcare organizations. Healthcare organizations are trying to leverage BI&A as an integral capability to provide quality healthcare service to patients. From an organizational perspective, BI&A extends beyond an artifact or tool to include several capabilities. This chapter conceptualizes potential capabilities that BI&A can bestow to healthcare organizations. A three-category classification of BI&A healthcare capability classification is suggested: BI&A healthcare insight infrastructure capability, BI&A healthcare process capability, and BI&A healthcare integration capability. In this chapter, the authors discuss the attributes of these three BI&A healthcare capabilities to offer understandings into how these capabilities can help healthcare firms. This taxonomy will help healthcare providers and IT professionals in the healthcare industry make informed decisions on how best to adopt BI&A within their firms to provide quality healthcare service.

scholarly journals BIM for Smart Hospital Management during COVID-19 Using MCDM

2021 ◽  
Vol 13 (11) ◽  
pp. 6181
Author(s):  
Chih-Lung Lin ◽  
James K. C. Chen ◽  
Han-Hsi Ho
Keyword(s):  
Evaluation System ◽  
New Technology ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Hospital Management ◽  
Technology Innovations ◽  
Expert Opinions ◽  
Smart Hospital ◽  
Smart Hospitals ◽  
Network Technologies

In context of the recent COVID-19 pandemic, smart hospitals’ contributions to pre-medical, remote diagnosis, and social distancing has been further vetted. Smart hospital management evolves with new technology and knowledge management, which needs an evaluation system to prioritize its associated criteria and sub-criteria. The global effect of the COVID-19 pandemic further necessitates a comprehensive research of smart hospital management. This paper will utilize Analytical Hierarchy Process (AHP) within Multiple Criteria Decision Making (MCDM) to establish a smart hospital evaluation system with evaluation criteria and sub-criteria, which were then further prioritized and mapped to BIM-related alternatives to inform asset information management (AIM) practices. This context of this study included the expert opinions of six professionals in the smart hospital field and collected 113 responses from hospital-related personnel. The results indicated that functionalities connected to end users are critical, in particular IoT’s Network Core Functionalities, AI’s Deep Learning and CPS’s Special Network Technologies. Furthermore, BIM’s capability to contribute to the lifecycle management of assets can relate and contribute to the asset-intensive physical criteria of smart hospitals, in particular IoT, service technology innovations and their sub-criteria.

Applications of blockchain in healthcare (Preprint)

2020 ◽  
Author(s):  
Pranav C
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Review Paper ◽  
New Technology ◽  
Personal Identification ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Paper Briefly ◽  
Blockchain Technology ◽  
Audit Trails

UNSTRUCTURED The word blockchain elicits thoughts of cryptocurrency much of the time, which does disservice to this disruptive new technology. Agreed, bitcoin launched in 2011 was the first large scale implementation of blockchain technology. Also, Bitcoin’s success has triggered the establishment of nearly 1000 new cryptocurrencies. This again lead to the delusion that the only application of blockchain technology is for the creation of cryptocurrency. However, the blockchain technology is capable of a lot more than just cryptocurrency creation and may support such things as transactions that require personal identification, peer review, elections and other types of democratic decision-making and audit trails. Blockchain exists with real world implementations beyond cryptocurrencies and these solutions deliver powerful benefits to healthcare organizations, bankers, retailers and consumers among others. One of the areas where blockchain technology can be used effectively is healthcare industry. Proper application of this technology in healthcare will not only save billions of money but also will contribute to the growth in research. This review paper briefly defines blockchain and deals in detail the applications of blockchain in various areas particularly in healthcare industry.

scholarly journals Feasibility, usability and acceptability of paediatric lung ultrasound among healthcare providers and caregivers for the diagnosis of childhood pneumonia in resource-constrained settings: a qualitative study

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e042547
Author(s):  
Atif Riaz ◽  
Olga Cambaco ◽  
Laura Elizabeth Ellington ◽  
Jennifer L Lenahan ◽  
Khatia Munguambe ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Low Income ◽  
Lung Ultrasound ◽  
New Technology ◽  
Healthcare Providers ◽  
Ease Of Use ◽  
Local Context ◽  
Future Research ◽  
Successful Implementation ◽  
Pneumonia Diagnosis

ObjectivesPaediatric pneumonia burden and mortality are highest in low-income and middle-income countries (LMIC). Paediatric lung ultrasound (LUS) has emerged as a promising diagnostic tool for pneumonia in LMIC. Despite a growing evidence base for LUS use in paediatric pneumonia diagnosis, little is known about its potential for successful implementation in LMIC. Our objectives were to evaluate the feasibility, usability and acceptability of LUS in the diagnosis of paediatric pneumonia.DesignProspective qualitative study using semistructured interviewsSettingTwo referral hospitals in Mozambique and PakistanParticipantsA total of 21 healthcare providers (HCPs) and 20 caregivers were enrolled.ResultsHCPs highlighted themes of limited resource availability for the feasibility of LUS implementation, including perceived high cost of equipment, maintenance demands, time constraints and limited trained staff. HCPs emphasised the importance of policymaker support and caregiver acceptance for long-term success. HCP perspectives of usability highlighted ease of use and integration into existing workflow. HCPs and caregivers had positive attitudes towards LUS with few exceptions. Both HCPs and caregivers emphasised the potential for rapid, improved diagnosis of paediatric respiratory conditions using LUS.ConclusionsThis was the first study to evaluate HCP and caregiver perspectives of paediatric LUS through qualitative analysis. Critical components impacting feasibility, usability and acceptability of LUS for paediatric pneumonia diagnosis in LMIC were identified for initial deployment. Future research should explore LUS sustainability, with a particular focus on quality control, device maintenance and functionality and adoption of the new technology within the health system. This study highlights the need to engage both users and recipients of new technology early in order to adapt future interventions to the local context for successful implementation.Trial registration numberNCT03187067.

scholarly journals Assessment of Computerized Medical Equipment Management and Maintenance System From Health Technology Assessment (HTA) Perspective: Need and Approach

2021 ◽  
Author(s):  
Joshi Nitin Kumar ◽  
Bhardwaj Pankaj ◽  
Singh Kuldeep ◽  
Joshi Vibha ◽  
Suthar Praveen
Keyword(s):  
Health Technology Assessment ◽  
Technology Assessment ◽  
Medical Equipment ◽  
New Technology ◽  
Health Technology ◽  
Flexible Tool ◽  
Quality Healthcare ◽  
Biomedical Equipment ◽  
Computerized Maintenance Management System ◽  
Assessment Approach

Appropriate management of medical equipment is of crucial importance for providing quality healthcare. A computerized maintenance management system (CMMS) is a computerized program used by healthcare technology management (HTM) systems as an instrument for maintaining, organizing, storing, and reporting the data related to medical technologies in health facilities. Though CMMS is introduced as a beneficial and flexible tool for transforming the management of biomedical equipment, but no evidence of the same has been documented yet to highlight the efficacy of CMMS in the Indian context. CMMS, an e-Health system used by HTM programs, is a relatively new technology being adopted by various states of India. Such systems are vital to judging whether the system is operating and delivering the effects as desired. Assessment not only can inform policy-makers about what is known about the technology, but it also provides a better knowledge of the strengths and weaknesses of the intended technology. Health Technology assessment (HTA) is a systematic process designed to synthesize and evaluate the prevailing evidence for treatment or health delivery innovation. So considering the HTA perspective, an assessment approach to CMMS could be planned. Systematic reviews and empirical frameworks that have been used for understanding and assessing e-health programs can be used for evaluating technologies. Assessment of CMMS from a HTA perspective should be vital to the implementation of HTM systems by healthcare agencies.

Transforming to a smart hospital system

2016 ◽  
Vol 12 (4) ◽  
pp. 503-522 ◽  
Author(s):  
Nawaf Alharbe ◽  
Anthony S. Atkins
Keyword(s):  
Saudi Arabia ◽  
Real Time ◽  
Expert Knowledge ◽  
Dynamic Control ◽  
Rfid Technology ◽  
Content Type ◽  
Domain Experts ◽  
Smart Hospital ◽  
Potential Risks ◽  
Operational Processes

Purpose Expert knowledge is an important organisational resource, and organisations need to retain the knowledge learned by experience, which can be shared as part of inter-professional learning. In a healthcare context, radio-frequency identification (RFID) and ZigBee technologies can be used together, to provide real-time information for decision support and to create a secure and reliable smart hospital management information system (SHMIS) that allows the dynamic control of objects and transforms operational processes, while minimising any potential risks to patients and staff. Currently, the RFID technology in Saudi Arabia is being solely used for the monitoring of newborn infants, and some difficulties have been encountered during the different stages of tagging and monitoring. The current system in Medina Maternity and Children’s Hospital (MMCH) uses battery-powered active RFID tags, which are expensive and require routine maintenance. This study aims to discuss the way in which the MMCH in Medina, Saudi Arabia, could be transformed into an SHMIS. Design/methodology/approach The extraordinary growth of RFID and ZigBee technologies has made it possible to identify, locate and track objects in various environments in real time. The RFID technology is a non-contact identification technology that is cheap and reliable but has limited range in the case of passive tags. ZigBee has greater range and lower power consumption, giving more precise location of the object’s movements (0.6 m). Passive RFID when combined with ZigBee technology can be used to improve services provided by healthcare organisations through continuous data collection and supporting real-time decision-making, by applying expert knowledge of domain experts to data produced by communication from electronic and sensor technologies. Findings A prototype object-tracking system using RFID and ZigBee was developed to support the knowledge transformation for knowledge reasoning for decision support (KRDS), and the outcome of this research was validated with domain experts in hospitals in Saudi Arabia. Two feasibility case studies were conducted at MMCH in Saudi Arabia, to evaluate the proposed system. A survey was also conducted to address the requirements at MMCH, and the researcher adopted a range of strategy techniques, including interviews and meetings with staff, and the setting up of communities of practise (CoPs) at the target hospital. Research limitations/implications This paper has investigated the transformation process of an automatic healthcare tracking and monitoring systems for the purpose of developing a smart system in Saudi hospitals. For the scope of the project, the prototype implementation was restricted to a laboratory environment, to demonstrate the proposed proof of concept. The next phase will include conducting a scale up of the system, with implementation and testing done in a real hospital environment. Originality/value This paper proposes a prototype application of an (SHMIS that allows the dynamic control of objects and transforms operational processes, while minimising any potential risks to patients and staff.

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